Artificial intelligence and machine learning approaches for secure image recognition in IoT networks
Kirti Rahul Kadamkirti.kadam@bharatividyapeeth.eduDepartment of Management StudiesInstitute of ManagementBharati Vidyapeeth (Deemed to be) UniversityKolhapur, Maharashtra, 416003, IndiaView full profile → , *V. Dankan GowdaCorresponding authordankan.v@bmsit.inDepartment of Electronics and Communication EngineeringBMS Institute of Technology and ManagementBangalore, Karnataka, 560119, IndiaView full profile → , Pritish Kakkarpritishkak11@gmail.comDepartment of Computer ScienceSardar Beant Singh State UniversityGurdaspur, Punjab, 143530, IndiaView full profile → , Debanjan NagDebanjan.nag@sibmhyd.edu.inAffiliation 1Department of Human ResourcesSymbiosis Institute of Business ManagementHyderabad, Telangana, 509217, IndiaAffiliation 2Symbiosis International (Deemed University)Pune, Maharashtra, 412115, IndiaView full profile → , Kaushika Palkaushika.pal@scet.ac.inDepartment of Computer ApplicationsSarvajanik College of Engineering and TechnologySurat, Gujarat, 395001, IndiaView full profile → , Ananda K.anandkgowdru73@gmail.comDepartment of Computer Science and EngineeringBGS Institute of TechnologyAdichunchanagiri UniversityMandya, Karnataka, 571448, IndiaView full profile → , Erdal Buyukbicakcierdal@subu.edu.trDepartment of Computer TechnologiesInformation Technologies Vocational SchoolSakarya University of Applied SciencesSakarya, TurkeyView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 05 Mar 2025
- Published Online:
- 31 Oct 2025
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIOS-2132
- Pages:
- 2389–2400
Abstract
Keywords
Subject Classifications
References
[1] A. Kumar and I. Sharma, “CNN-Based Approach for IoT Intrusion Attack Detection,” in Proc. 2023 Int. Conf. Sustainable Computing and Data Communication Systems (ICSCDS), Erode, India, pp. 492–496, 2023.
[2] A. Kumar and M. Bhattacharya, “Fast and Efficient Real-Time Facial Recognition System Using Raspberry Pi and IoT,” in Proc. 2024 IEEE 8th Int. Conf. Information and Communication Technology (CICT), Prayagraj, UP, India, pp. 1–6 (2024).
[3] Y.-B. Lin, C.-H. Tsai, H.-L. Chen, C.-W. Huang, and W.-C. Hsu, “IoT-Based Strawberry Disease Detection With Wall-Mounted Monitoring Cameras,” IEEE Internet of Things Journal, vol. 11, no. 1, pp. 1439–1451 (Jan. 2024).
[4] C. P. Kumar, A. L. N. Rao, and A. Sankhyan, “Edge Computing and Convolutional Neural Networks for Real-Time Object Detection in Healthcare IoT,” in Proc. 2023 Int. Conf. Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI), Raipur, India, pp. 1–7 (2023).
[5] G. Manivasagam and K. D. V. Prasad, “Novel Approaches to Biometric Security Using Enhanced Session Keys and Elliptic Curve Cryptography,” J. Discrete Math. Sci. Cryptogr., vol. 27, no. 2-A, pp. 477–488 (2024).
[6] R. Senthil Kumar and K. D. V. Prasad, “Securing Digital Authentication With Cryptographic Innovations in Intrinsic Verification Systems,” J. Discrete Math. Sci. Cryptogr., vol. 27, no. 2-A, pp. 317–328 (2024).
[7] T. Thiruvenkadam and K. D. V. Prasad, “Cryptographic Image-Based Data Security Strategies in Wireless Sensor Networks,” J. Discrete Math. Sci. Cryptogr., vol. 27, no. 2-A, pp. 293–304 (2024).
[8] A. K. Islam and C. A. Graves, “A Low-Power IoT-Based Smart Desk Integrated With a Facial Recognition Attendance System,” in Proc. SoutheastCon 2025, Concord, NC, USA, pp. 1376–1383 (2025).
[9] T. Nagaraj, “IoT-Based Contactless ATM Using Computer Vision,” in Proc. 2024 4th Int. Conf. Pervasive Computing and Social Networking (ICPCSN), Salem, India, pp. 605–609 (2024).
[10] P. Sarma and M. Rahman, “Mathematical Analysis of Wavelet-Based Multi-Image Compression in Medical Diagnostics,” J. Discrete Math. Sci. Cryptogr., vol. 27, no. 2-B, pp. 675–687 (2024).
[11] S. Kumar and A. K. Gupta, “A Novel Approach of Unsupervised Feature Selection Using Iterative Shrinking and Expansion Algorithm,” J. Interdiscip. Math., vol. 26, no. 3, pp. 519–530 (2023).
[12] Naziya and V. S. Chinamuttevi, “A Novel RF-SMOTE Model to Enhance the Definite Apprehensions for IoT Security Attacks,” J. Discrete Math. Sci. Cryptogr., vol. 26, no. 3, pp. 861–873 (2023).
[13] R. Shekhar and A. Chaturvedi, “Securing Networked Image Transmission Using Public-Key Cryptography and Identity Authentication,” J. Discrete Math. Sci. Cryptogr., vol. 26, no. 3, pp. 779–791 (2023).
[14] H. G. Govardhana Reddy and K. Raghavendra, “Vector Space Modelling-Based Intelligent Binary Image Encryption for Secure Communication,” J. Discrete Math. Sci. Cryptogr., vol. 25, no. 4, pp. 1157–1171 (2022).
[15] A. M. Al-Ghaili, R. M. Parizi, H. S. Alharthi, M. D. A. Karim, and R. Buyya, “A Review on Role of Image Processing Techniques to Enhancing Security of IoT Applications,” IEEE Access, vol. 11, pp. 101924–101948 (2023).
[16] P. N. Karthikayan and R. Pushpakumar, “Smart Glasses for Visually Impaired Using Image Processing Techniques,” in Proc. 2021 5th Int. Conf. I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Palladam, India, pp. 1322–1327 (2021).
[17] K. Merchant and B. Nousain, “Securing IoT RF Fingerprinting Systems With Generative Adversarial Networks,” in Proc. MILCOM 2019 – IEEE Military Communications Conference (MILCOM), Norfolk, VA, USA, pp. 584–589 (2019).
[18] A. R. Vivek, R. S. Shriram, and P. Karthikeyan, “License Plate Recognition and IoT-Based Parking System,” in Proc. 2024 Int. Conf. Emerging Techniques in Computational Intelligence (ICETCI), Hyderabad, India, pp. 257–262 (2024).




